Baskerville: a national accelerated compute resource

巴斯克维尔:国家加速计算资源

基本信息

  • 批准号:
    EP/T022221/1
  • 负责人:
  • 金额:
    $ 665.86万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    未结题

项目摘要

Modern science demands high-performance computing platforms that support a diverse range of activities, from quantum mechanical simulations of high-performance electronic materials, large scale molecular dynamics simulations, to data-driven machine learning-based analysis of high-resolution, high-content scientific images. We propose a science-based, service oriented, flexible, and fully-featured mid-level national facility for high performance computing - Baskerville (named for John Baskerville, the enlightenment-era Birmingham industrialist) - that supports a wide range of applications and interaction modes using a new technological platform featuring the new generation of NVIDIA A100 GPUs to provide a state-of-art-accelerated facility that will facilitate new types of research that are impractical or impossible on the existing national infrastructure. We will be amongst the first to receive the next generation multi-GPU systems with NVLINK interconnect through a commitment from our technology partners to supply us on their early shipment programme.Our consortium of partners, led by the University of Birmingham, brings together three major research facilities- the Rosalind Franklin Institute, the Alan Turing Institute, and Diamond Light Source. Collectively the partners are involved in EPSRC activity worth more than £550m. Birmingham hosts several national centres and facilities including the National Centre for Nuclear Robotics, the National Buried Infrastructure Facility, and the UK National Quantum Technology Hubs for Sensors and Metrology, and Sensing and Timing. The Franklin and its partners are developing next generation technologies for studying life, building a new generation of scientific instruments. The Turing is the UK national centre for Data Science and Artificial Intelligence, coordinating and catalysing research across the country. Diamond Light Source is the UK's national synchrotron light source, and is an essential tool in a huge range of scientific applications, from the development of the next generation of advanced materials for aerospace, to studies of the structure of proteins. This new system will therefore benefit a broad range of EPSRC researchers working with these facilities and beyond, with the system available to all EPSRC-funded researchers.The new facility will be hosted in Birmingham's purpose-built, water-cooled datacentre which enables the entire system to be kept at optimal temperatures without needing air conditioning, dramatically reducing its running costs and energy usage. High-speed links to the Harwell campus where Diamond and the Franklin are based will enable rapid transfer of large datasets and we will put in place automated pipelines for data transfer and processing that allow researchers to take full advantage of the technology.
现代科学需要高性能计算平台来支持各种活动,从高性能电子材料的量子力学模拟,大规模分子动力学模拟,到基于数据驱动的机器学习的高分辨率,高内容科学图像分析。我们提出了一个以科学为基础,面向服务,灵活,功能齐全的中级国家高性能计算设施-巴斯克维尔(以约翰·巴斯克维尔命名,启蒙时代的伯明翰工业家)-使用新一代NVIDIA A100 GPU的新技术平台支持广泛的应用程序和交互模式,以提供最先进的加速设施,将促进新类型的研究是不切实际的或不可能的现有的国家基础设施。我们的技术合作伙伴承诺在其早期出货计划中为我们提供支持,我们将成为首批获得采用NVLINK互连技术的下一代多GPU系统的公司之一。我们的合作伙伴联盟由伯明翰大学牵头,汇集了三个主要研究机构-罗莎琳德富兰克林研究所、艾伦图灵研究所和钻石光源。合作伙伴共同参与了价值超过5.5亿英镑的EPSRC活动。伯明翰拥有几个国家中心和设施,包括国家核机器人中心,国家地下基础设施,以及英国国家量子技术中心的传感器和计量,传感和定时。富兰克林号及其合作伙伴正在开发研究生命的下一代技术,建造新一代科学仪器。图灵是英国国家数据科学和人工智能中心,协调和催化全国的研究。钻石光源是英国的国家同步加速器光源,是一个重要的工具,在一个巨大的科学应用范围,从下一代先进材料的航空航天的发展,蛋白质的结构研究。因此,这一新系统将使使用这些设施及其他设施的EPSRC研究人员受益,所有EPSRC资助的研究人员都可以使用该系统。新设施将托管在伯明翰专门建造的水冷实验中心,使整个系统保持在最佳温度,无需空调,大大降低了运行成本和能源使用。与Diamond和富兰克林所在的Harwell校园的高速连接将使大型数据集的快速传输成为可能,我们将建立自动化的数据传输和处理管道,使研究人员能够充分利用这项技术。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Andrew Morris其他文献

Creating sustainable innovation through design for behaviour change: full project report
通过行为改变设计创造可持续创新:完整的项目报告
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Niedderer;J. MacKrill;S. Clune;Dan Lockton;Geke D. S. Ludden;Andrew Morris;R. Cain;E. Gardiner;Robin Gutteridge;M. Evans;P. Hekkert
  • 通讯作者:
    P. Hekkert
Advancing Hospital Acquired Pressure Injury Prevention with a Data-Driven Transdisciplinary Model
通过数据驱动的跨学科模型推进医院获得性压力性损伤的预防
  • DOI:
    10.1016/j.apmr.2025.03.025
  • 发表时间:
    2025-05-01
  • 期刊:
  • 影响因子:
    3.700
  • 作者:
    Bridget Fowler King;Colleen Johnson;Matthew Grissom;Andrew Morris;Miriam Rafferty
  • 通讯作者:
    Miriam Rafferty
Evaluation of alternative intersection treatments at rural crossroads using simulation software
  • DOI:
    10.1080/15389588.2018.1528357
  • 发表时间:
    2018-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sujanie Peiris;Bruce Corben;Michael Nieuwesteeg;Hampton C. Gabler;Andrew Morris;Diana Bowman;Michael G. Lenné;Michael Fitzharris
  • 通讯作者:
    Michael Fitzharris
How electric bikes reduce car use: A dual-mode ownership perspective
电动自行车如何减少汽车使用:一种双模式拥有视角
Objective patient-related outcomes of rapid-response systems — a pilot study to demonstrate feasibility in two hospitals
  • DOI:
    10.1016/s1441-2772(23)02185-3
  • 发表时间:
    2013-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Andrew Morris;Helen M. Owen;Karen Jones;Jillian Hartin;John Welch;Christian P. Subbe
  • 通讯作者:
    Christian P. Subbe

Andrew Morris的其他文献

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{{ truncateString('Andrew Morris', 18)}}的其他基金

Harnessing the power of diverse populations to empower clinical translation of genome-wide association studies of common human disease
利用不同人群的力量,促进人类常见疾病全基因组关联研究的临床转化
  • 批准号:
    MR/W029626/1
  • 财政年份:
    2023
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Research Grant
Novel statistical methods for transcriptomic imputation to enhance understanding of causal mechanisms underlying human diseases
转录组插补的新统计方法可增强对人类疾病因果机制的理解
  • 批准号:
    MR/V020749/1
  • 财政年份:
    2022
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Research Grant
UKRI trusted and connected Data and Analytics Research Environments, Phase 1
UKRI 可信且互联的数据和分析研究环境,第一阶段
  • 批准号:
    MC_PC_21005
  • 财政年份:
    2021
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Intramural
Population Research UK Phase 1: Partnership Design & Dialogue
英国人口研究第一阶段:合作伙伴设计
  • 批准号:
    MC_PC_20024
  • 财政年份:
    2021
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Intramural
Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS)
第 1 阶段 COVID-19 数据和连接 — 国家核心研究(第 1 阶段 D
  • 批准号:
    MC_PC_20058
  • 财政年份:
    2021
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Intramural
COVID-19: Data and Connectivity – National Core Study (D&C-NCS)
COVID-19:数据和连接 – 国家核心研究 (D
  • 批准号:
    MC_PC_20029
  • 财政年份:
    2020
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Intramural
UKRI ISCF DIH Programme Phase 3– Innovation Gateway, Health Data Research Hubs, and UK Health Data Research Alliance
UKRI ISCF DIH 计划第 3 阶段——创新网关、健康数据研究中心和英国健康数据研究联盟
  • 批准号:
    MC_PC_19002
  • 财政年份:
    2019
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Intramural
Open KE Fellowship: Translation of a Miniature CT-DO Sensor from the Laboratory to Real World Applications
开放 KE 奖学金:微型 CT-DO 传感器从实验室到现实世界应用的转化
  • 批准号:
    NE/S006451/2
  • 财政年份:
    2019
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Research Grant
Open KE Fellowship: Translation of a Miniature CT-DO Sensor from the Laboratory to Real World Applications
开放 KE 奖学金:微型 CT-DO 传感器从实验室到现实世界应用的转化
  • 批准号:
    NE/S006451/1
  • 财政年份:
    2018
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Research Grant
Health Data Research UK - CORE Funds
英国健康数据研究 - CORE 基金
  • 批准号:
    HDR-CORE
  • 财政年份:
    2018
  • 资助金额:
    $ 665.86万
  • 项目类别:
    Intramural

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Accelerated Neuromodulation of Prefrontal Circuitry during Clozapine Treatment
氯氮平治疗期间前额叶回路的加速神经调节
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用于生命科学研究的 GPU 加速并行计算机
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